Shared RU Band Allocation Under FH and DU Capacity Constraints
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Solution Overview
Problem
Existing radio systems face challenges in expanding system capacity when transitioning from dedicated RUs to shared RUs, as they struggle to manage and allocate radio resources efficiently among multiple MNOs, leading to potential overcapacity in CU/DU and FH lines, and computational complexity increases with the number of shared RUs.
Innovation Solution
A communication control apparatus that aggregates RSRP information to allocate use bands to each RU among MNOs, ensuring compliance with FH capacity and DU calculation resource constraints, and employs clustering to distribute computational load, adjusting band allocations based on load balance across clusters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If dedicated RUs are replaced with shared RUs to expand system capacity, then the communication area and system capacity are expanded, but the device complexity and computational load increase due to managing multiple MNOs' radio resources
Solution Approach 1:
The patent divides the radio resource management system into distributed units (RUs) that can be shared among multiple mobile network operators (MNOs). Each RU is segmented to handle specific MNOs' traffic independently while being physically co-located, allowing the central unit to manage resources more efficiently without overwhelming computational complexity.
Solution Approach 2:
The patent introduces a new dimension of resource sharing by allowing multiple MNOs to share the same physical RU infrastructure. This transforms the traditional one-to-one mapping between RU and MNO into a many-to-one relationship, expanding system capacity without proportionally increasing the number of physical RUs.
2Productivity
If the number of shared RUs connected to each CU/DU increases to support more MNOs, then system capacity expands, but the computational load and complexity of resource allocation increase
Solution Approach 1:
The patent segments the resource allocation process by introducing cluster-based management where RUs are grouped into clusters. Each cluster can be managed semi-independently, reducing the computational complexity at the central unit while maintaining overall system coordination and capacity.
3Productivity
If radio resources are allocated to maximize system capacity, then productivity increases, but it becomes difficult to satisfy both FH capacity constraints and DU calculation resource constraints
Solution Approach 1:
The patent dynamically adjusts allocation parameters such as the number of RUs per cluster and the distribution of MNOs across clusters. By changing these parameters, the system can adapt to different load conditions and ensure that both front-haul capacity constraints and distributed unit calculation resource constraints are satisfied while maximizing overall system capacity.
Data Source
AI summary
A communication control apparatus that manages a plurality of radio apparatuses allocated for each cluster and shared by a plurality of operators includes: a controller that allocates a radio resource of each operator for each radio apparatus in each cluster in accordance with a constraint condition decided; a calculator that calculates an alteration-induced value related to an evaluation value for each operator of each radio apparatus in each cluster under an assumption of increasing/decreasing a radio resource allocated to each operator of each radio apparatus in the cluster; and decision processor circuitry that decides, for each cluster, a constraint condition that maximizes the alteration-induced value of each radio apparatus in all the clusters and under which a capacity of a radio resource allocated to each radio apparatus satisfies a first prescribed quantity and a calculation capacity satisfies a second prescribed quantity.